Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14272F7325120303E8F2B16C8B2B3776EB267D2DDDB634590D3F847993BD2C9189369A1 |
|
CONTENT
ssdeep
|
384:T8eYfsG8WiWZGbGCGyGEGaG8GCkaCGHoXyndzYK32XwObY49au1A/yIGJY:T8efxWiWZIRFP5bVkaC5XydzJWpbY27w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a952562da942f7d2 |
|
VISUAL
aHash
|
00004e0b0f030303 |
|
VISUAL
dHash
|
a9fc989b9b5fcb0b |
|
VISUAL
wHash
|
000eff4f0f0f23a7 |
|
VISUAL
colorHash
|
394010000c0 |
|
VISUAL
cropResistant
|
f4666aa2b2b8a587,b8abb3fc80313197,a9fc989b9b5fcb0b,514d7133734d5141 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 159 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.